Jim:
Did you forget about with() ?
Instead of:
by(lbtdat$latency,list(lbtdat$subject,
lbtdat$condition,lbtdat$state),mean)
##do
with(ibtdat,by(latency,list(subject,condition,state),mean))
Bert Gunter
"Data is not information. Information is not knowledge. And knowledge
is certainly not w
On 12/23/2013 11:31 PM, Laura Bethan Thomas [lbt1] wrote:
Hi All,
Sorry for what I imagine is quite a basic question. I have been trying to do is
create latency averages for each state (1-8) for each participant (n=13) in
each condition (1-10). I'm not sure what function I would need, or what
Hi,
You could either try:
#dat1 ##dataset
aggregate(latency~.,data=dat1,mean)
#or
library(data.table)
dt1 <- data.table(dat1,key=c('subject','conditionNo','state'))
dt1[,mean(latency),by=c('subject','conditionNo','state')]
A.K.
On Monday, December 23, 2013 2:20 PM, Laura Bethan Thomas [lbt
I would suggest using summaryBy()
library(doBy)
# sample data with you specifications
subject <- as.factor(rep(seq(13), each = 5))
state <- as.factor(sample(c(1:8), 65, replace = TRUE))
condition <- as.factor(sample(c(1:10), 65, replace = TRUE))
latency <- runif(65, min=750, max = 1100)
dat <- da
> Hi All,
>
> Sorry for what I imagine is quite a basic question. I have been trying to do
> is create latency averages for each state (1-8) for each participant (n=13)
> in each condition (1-10). I'm not sure what function I would need, or what
> the most efficient ay of calculating this woul
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